scholarly journals A Decentralized Local Flexibility Market Considering the Uncertainty of Demand

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2078 ◽  
Author(s):  
Ayman Esmat ◽  
Julio Usaola ◽  
Mª Moreno
Keyword(s):  
Real Time ◽  
Distribution System ◽  
Demand Management ◽  
Congestion Management ◽  
Local Market ◽  
Management Process ◽  
Real Distribution ◽  
System Operator ◽  
The Right ◽  
The Impact

The role of the distribution system operator (DSO) is evolving with the increasing possibilities of demand management and flexibility. Rather than implementing conventional approaches to mitigate network congestions, such as upgrading existing assets, demand flexibility services have been gaining much attention lately as a solution to defer the need for network reinforcements. In this paper, a framework for a decentralized local market that enables flexibility services trading at the distribution level is introduced. This market operates on two timeframes, day-ahead and real-time and it allows the DSO to procure flexibility services which can help in its congestion management process. The contribution of this work lies in considering the uncertainty of demand during the day-ahead period. As a result, we introduce a probabilistic process that supports the DSO in assessing the true need of obtaining flexibility services based on the probability of congestion occurrence in the following day of operation. Besides being able to procure firm flexibility for high probable congestions, a new option is introduced, called the right-to-use option, which enables the DSO to reserve a specific amount of flexibility, to be called upon later if necessary, for congestions that have medium probabilities of taking place. In addition, a real-time market for flexibility trading is presented, which allows the DSO to procure flexibility services for unforeseen congestions with short notice. Also, the effect of the penetration level of flexibility on the DSO’s total cost is discussed and assessed. Finally, a case study is carried out for a real distribution network feeder in Spain to illustrate the impact of the proposed flexibility framework on the DSO’s congestion management process.

scholarly journals Local Market for TSO and DSO Reactive Power Provision Using DSO Grid Resources

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3442
Author(s):  
Fábio Retorta ◽  
João Aguiar ◽  
Igor Rezende ◽  
José Villar ◽  
Bernardo Silva
Keyword(s):  
Real Time ◽  
Distribution System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Time Interval ◽  
Local Market ◽  
Distribution Grid ◽  
Power Profile ◽  
System Operator

This paper proposes a near to real-time local market to provide reactive power to the transmission system operator (TSO), using the resources connected to a distribution grid managed by a distribution system operator (DSO). The TSO publishes a requested reactive power profile at the TSO-DSO interface for each time-interval of the next delivery period, so that market agents (managing resources of the distribution grid) can prepare and send their bids accordingly. DSO resources are the first to be mobilized, and the remaining residual reactive power is supplied by the reactive power flexibility offered in the local reactive market. Complex bids (with non-curtailability conditions) are supported to provide flexible ways of bidding fewer flexible assets (such as capacitor banks). An alternating current (AC) optimal power flow (OPF) is used to clear the bids by maximizing the social welfare to supply the TSO required reactive power profile, subject to the DSO grid constraints. A rolling window mechanism allows a continuous dispatching of reactive power, and the possibility of adapting assigned schedules to real time constraints. A simplified TSO-DSO cost assignment of the flexible reactive power used is proposed to share for settlement purposes.

scholarly journals Demand Flexibility Management for Buildings-to-Grid Integration with Uncertain Generation

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6532
Author(s):  
Vahab Rostampour ◽  
Thom S. Badings ◽  
Jacquelien M. A. Scherpen
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Wind Power ◽  
Distribution System ◽  
Large Scale ◽  
Wind Power Generation ◽  
Forecast Errors ◽  
Monte Carlo Simulation Study ◽  
System Operator ◽  
The Impact

We present a Buildings-to-Grid (BtG) integration framework with intermittent wind-power generation and demand flexibility management provided by buildings. First, we extend the existing BtG models by introducing uncertain wind-power generation and reformulating the interactions between the Transmission System Operator (TSO), Distribution System Operators (DSO), and buildings. We then develop a unified BtG control framework to deal with forecast errors in the wind power, by considering ancillary services from both reserves and demand-side flexibility. The resulting framework is formulated as a finite-horizon stochastic model predictive control (MPC) problem, which is generally hard to solve due to the unknown distribution of the wind-power generation. To overcome this limitation, we present a tractable robust reformulation, together with probabilistic feasibility guarantees. We demonstrate that the proposed demand flexibility management can substitute the traditional reserve scheduling services in power systems with high levels of uncertain generation. Moreover, we show that this change does not jeopardize the stability of the grid or violate thermal comfort constraints of buildings. We finally provide a large-scale Monte Carlo simulation study to confirm the impact of achievements.

scholarly journals Effect of Electric Vehicles Charging Loads on Realistic Residential Distribution System in Aqaba-Jordan

2021 ◽  
Vol 12 (4) ◽  
pp. 218
Author(s):  
Mohammad A. Obeidat ◽  
Abdulaziz Almutairi ◽  
Saeed Alyami ◽  
Ruia Dahoud ◽  
Ayman M. Mansour ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Distribution System ◽  
Voltage Drop ◽  
Response Strategy ◽  
Proper Actions ◽  
Real Distribution ◽  
The Monte Carlo Method ◽  
Residential Distribution ◽  
The Impact ◽  
Ev Charging

In recent years, air pollution and climate change issues have pushed people worldwide to switch to using electric vehicles (EVs) instead of gas-driven vehicles. Unfortunately, most distribution system facilities are neither designed nor well prepared to accommodate these new types of loads, which are characterized by random and uncertain behavior. Therefore, this paper provides a comprehensive investigation of EVs’ effect on a realistic distribution system. It provides a technical evaluation and analysis of a real distribution system’s load and voltage drop in the presence of EVs under different charging strategies. In addition, this investigation presents a new methodology for managing EV loads under a dynamic response strategy in response to the distribution system’s critical hours. The proposed methodology is applied to a real distribution network, using the Monte Carlo method and the CYME program. Random driver behavior is taken into account in addition to various factors that affect EV load parameters. Overall, the results show that the distribution system is significantly affected by the addition of EV charging loads, which create a severe risk to feeder limits and voltage drop. However, a significant reduction in the impact of EVs can be achieved if a proper dynamic demand response programme is implemented. We hope that the outcomes of this investigation will provide decision-makers and planners with prior knowledge about the expected impact of using EVs and, consequently, enable them to take the proper actions needed to manage such load.

scholarly journals Assessment and Possible Solution to Increase Resilience: Flooding Threats in Terni Distribution Grid

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 744 ◽  
Author(s):  
Tommaso Bragatto ◽  
Massimo Cresta ◽  
Fabrizio Cortesi ◽  
Fabio Gatta ◽  
Alberto Geri ◽  
...  
Keyword(s):  
Power Systems ◽  
Distribution System ◽  
Distribution Network ◽  
Extreme Weather Events ◽  
Distribution Grid ◽  
System Operator ◽  
Development Plans ◽  
New Feature ◽  
Flooding Events ◽  
The Impact

In recent years, because of increasing frequency and magnitude of extreme weather events, the main stakeholders of electric power systems are emphasizing issues about resilience. Whenever networks are designed and development plans are drawn, this new feature must be assessed and implemented. In this paper, a procedure to evaluate the resilience of a distribution network against flooding threats is presented. Starting from a detailed analysis about the resilience of each asset of the grid, the procedure implements the exploration of the network in order to evaluate the impact of interruptions (e.g., in terms of number of disconnected users) produced by the specific threat; then, it calculates the resilience indices of the whole system. The procedure is applied with respect to the flooding threats, on a real distribution network in the center of Italy (i.e., the distribution network of Terni). Referring to this case study, the proposed method suggests countermeasures able to reduce the impact of flooding events and evaluates their benefits. Results indicate that, at the present time, the network is adequately resilient with respect to flooding events, as demonstrated by the index values. However, the remedial actions identified by the procedure are also able to improve the resilience of the network and, in addition, they are in agreement with the development plan already established by the distribution system operator (DSO).

Assessing the value and impact of demand side response using whole-system approach

2017 ◽  
Vol 231 (6) ◽  
pp. 498-507 ◽  
Author(s):  
Danny Pudjianto ◽  
Goran Strbac
Keyword(s):  
Distribution System ◽  
System Approach ◽  
Distribution Systems ◽  
Transmission System ◽  
Investment Model ◽  
Demand Side ◽  
Electricity System ◽  
System Operator ◽  
The Impact ◽  
Demand Side Response

This paper describes the whole-system based model called Whole-electricity System Investment Model to quantify the benefits of demand flexibility. Whole-electricity System Investment Model is a holistic and comprehensive electricity system analysis model, which simultaneously optimises the long-term investment decisions against real-time operation decisions taking into account the flexibility provided by demand. The optimisation considers the impact of demand side response across all power subsystems, i.e. generation, transmission and distribution systems, in a coordinated fashion. This allows the model to capture the potential conflicts and synergies between different applications of demand side response in supporting particularly intermittency management at the national level, improving capacity margin, and minimising the cost of electrification. The impact and value of demand side response driven by whole-system approach are compared against the impact and value of distribution system operator or transmission system operator centric (silo approaches) demand side response applications and the importance of control coordination between distribution system operator and transmission system operator for optimal demand side response is discussed and highlighted.

The Demand Management Process

2002 ◽  
Vol 13 (2) ◽  
pp. 51-66 ◽  
Author(s):  
Keely L. Croxton ◽  
Douglas M. Lambert ◽  
Sebastián J. García‐Dastugue ◽  
Dale S. Rogers
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply And Demand ◽  
Demand Management ◽  
Successful Implementation ◽  
Management Process ◽  
Place Management ◽  
Chain Management ◽  
The Right ◽  
A Company

Demand management is the supply chain management process that balances the customers' requirements with the capabilities of the supply chain. With the right process in place, management can match supply with demand proactively and execute the plan with minimal disruptions. The process is not limited to forecasting. It includes synchronizing supply and demand, increasing flexibility, and reducing variability. In this paper, we describe the demand management process in detail to show how it can be implemented within a company and managed across firms in the supply chain. We examine the activities of each sub‐process; evaluate the interfaces with corporate functions, processes and firms; and provide examples of successful implementation.

scholarly journals A Comprehensive Study of Talent Management Process adopted by Tata Consultancy Services (TCS)

2021 ◽  
pp. 267-281
Author(s):  
Laveena C. Crasta ◽  
Shailashri V. T.
Keyword(s):  
Talent Management ◽  
Global Market ◽  
Annual Reports ◽  
Management Process ◽  
Sources Of Information ◽  
Secondary Sources ◽  
The Right ◽  
The Impact ◽  
Comprehensive Study

Background /Purpose: Talent management is the kernel of human resource management, the process of procurement of the right people to be absorbed by a company based on its business requirements. The surge to absorb the right competency in the global market has forced every corporation to build a vibrant process to acquire the best, develop and engage the acquired effectively to achieve optimal results. This paper is a comprehensive study on acquiring information on the Talent Management process adopted by Tata Consultancy Services (TCS). Design/Methodology/Approach: This study is based on the data collected from secondary sources of information. The main sources of information are annual reports of the company and websites. It is an explorative research case study that aims at identifying the best practices in terms of the Talent Management process and to perform SWOC analysis. Findings/Result: Based on the study, TCS has a robust process in place not only to acquire the best talent but also to nurture the existing talent within the company. This well-established process has helped the company to have maximum employee retention, which is a great asset while considering the impact of human resourcefulness in the growth of the company. Originality/Value: This paper analyses and interprets the Talent Management model of TCS based on its past 5 financial years of data. Based on the findings and their interpretation, new knowledge in the form of recommendations/suggestions are presented. Paper Type: Company Analysis as a Research Case Study.

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